Mapping urban air pollution using GIS: a regression-based approach
作者:
DAVIDJ. BRIGGS,
SUSAN COLLINS,
PAUL ELLIOTT,
PAUL FISCHER,
SIMON KINGHAM,
ERIK LEBRET,
KAREL PRYL,
HANS VAN REEUWIJK,
KIRSTY SMALLBONE,
ANDRE VAN DER VEEN,
期刊:
International Journal of Geographical Information Science
(Taylor Available online 1997)
卷期:
Volume 11,
issue 7
页码: 699-718
ISSN:1365-8816
年代: 1997
DOI:10.1080/136588197242158
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
As part of the EU-funded SAVIAH project, a regression-based methodology for mapping traffic-related air pollution was developed within a GIS environment. Mapping was carried out for NO2 in Amsterdam, Huddersfield and Prague. In each centre, surveys of NO2, as a marker for traffic-related pollution, were conducted using passive diffusion tubes, exposed for four 2-week periods. A GIS was also established, containing data on monitored air pollution levels, road network, traffic volume, land cover, altitude and other, locally determined, features. Data from 80 of the monitoring sites were then used to construct a regression equation, on the basis of predictor environmental variables, and the resulting equation used to map air pollution across the study area. The accuracy of the map was then assessed by comparing predicted pollution levels with monitored levels at a range of independent reference sites. Results showed that the map produced extremely good predictions of monitored pollution levels, both for individual surveys and for the mean annual concentration, with r2 0.79-0.87 across 8-10 reference points, though the accuracy of predictions for individual survey periods was more variable. In Huddersfield and Amsterdam, further monitoring also showed that the pollution map provided reliable estimates of NO2 concentrations in the following year (r2 0.59-0.86 for n 20).
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